Ultrasonic circular array sensing for human arm motion classification

R. Van Sloun, A. Pandharipande, D. Caicedo, S. Srinivasan, P. Sommen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Classification of human arm movements is an important problem in healthcare and well-being applications. In this paper, an ultrasonic Uniform Circular Array (UCA) Doppler sensing method is proposed for classifying arm movements from a given set. The method uses velocity and angular information, derived from Doppler frequencies and direction-of-arrival (DoA) by processing the signals received at the UCA, and employs a Bayesian classifier to distinguish between movements. The performance of the sensing method is evaluated using experimental datasets. The proposed ultrasonic UCA Doppler sensor and processing methods provide a compact solution for human arm movement classification.

Originele taal-2Engels
TitelConsumer Electronics – Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference, Berlin, 7-10 September 2014
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's24-25
Aantal pagina's2
ISBN van elektronische versie978-1-4799-6165-8
DOI's
StatusGepubliceerd - 5 feb 2015

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    Van Sloun, R., Pandharipande, A., Caicedo, D., Srinivasan, S., & Sommen, P. (2015). Ultrasonic circular array sensing for human arm motion classification. In Consumer Electronics – Berlin (ICCE-Berlin), 2014 IEEE Fourth International Conference, Berlin, 7-10 September 2014 (blz. 24-25). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE-Berlin.2014.7034298